Related Articles

# numpy.random.poisson() in Python

• Last Updated : 15 Jul, 2020

With the help of numpy.random.poisson() method, we can get the random samples from poisson distribution and return the random samples by using this method.

poisson distribution

Syntax : numpy.random.poisson(lam=1.0, size=None)

Return : Return the random samples as numpy array.

Example #1 :

In this example we can see that by using this numpy.random.poisson() method, we are able to get the random samples from poisson distribution by using this method.

## Python3

 `# import numpy``import` `numpy as np``import` `matplotlib.pyplot as plt`` ` `# Using poisson() method``gfg ``=` `np.random.poisson(``10``, ``1000``)`` ` `count, bins, ignored ``=` `plt.hist(gfg, ``14``, density ``=` `True``)``plt.show()`

Output :

Example #2 :

## Python3

 `# import numpy``import` `numpy as np``import` `matplotlib.pyplot as plt`` ` `# Using poisson() method``gfg ``=` `np.random.poisson(``4.5``, ``500``)`` ` `count, bins, ignored ``=` `plt.hist(gfg, ``14``, density ``=` `True``)``plt.show()`

Output :

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up